Kyle Martin

Dr. Kyle Martin is a Lecturer in the School of Computing, Engineering & Technology at Robert Gordon University (RGU), where he works in the Artificial Intelligence & Reasoning Research Group. He completed his PhD in 2021, after having been hired as a full-time lecturer and researcher in 2019. His academic focus centers on making AI systems more transparent and explainable, with applications across multiple sectors including digital health (with partners Jiva and Walk With Path), fintech (Sticklr), and horizon scanning (Citizen Advice Scotland).

Dr. Martin's primary research interests include:

• Case-Based Reasoning
• Deep Metric Learning
• Explainability in AI systems
• Applied Machine Learning across various domains

His recent publications (2023-2025) demonstrate a strong focus on explainable AI, particularly in developing case-based reasoning approaches to enhance the transparency of machine learning systems. He has published extensively on counterfactual explanations, legal question-answering systems, and automated essay grading, with 48 research outputs spanning multiple publication types. His work often bridges theoretical AI concepts with practical applications in real-world domains where understanding AI decision-making is critical.

Dr. Martin is actively involved in research funding and supervision:

• Co-investigator on the iSee project (European consortium) focused on personalized explanation experiences
• Available for PhD supervision in Case-Based Reasoning, Deep Learning, Explainability, and Applied Machine Learning
• Program committee member for ICCBR and SGAI conferences
• Organizer of international workshops on Case-Based Reasoning and Deep Learning

As a member of the Artificial Intelligence & Reasoning Research Group at RGU, Dr. Martin contributes to advancing reasoning capabilities in AI systems and developing practical applications of these technologies. His research has resulted in multiple publications in prestigious venues including ECAI, ICCBR, and Knowledge-Based Systems, demonstrating his growing impact in the AI research community.